On the number and size of Markov equivalence classes of random directed acyclic graphs

Fuente: arXiv
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Autores principales: Schmid, Dominik, Sly, Allan
Formato: Preprint
Publicado: 2022
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author Schmid, Dominik
Sly, Allan
author_facet Schmid, Dominik
Sly, Allan
contents In causal inference on directed acyclic graphs, the orientation of edges is in general only recovered up to Markov equivalence classes. We study Markov equivalence classes of uniformly random directed acyclic graphs. Using a tower decomposition, we show that the ratio between the number of Markov equivalence classes and directed acyclic graphs approaches a positive constant when the number of sites goes to infinity. For a typical directed acyclic graph, the expected number of elements in its Markov equivalence class remains bounded. More precisely, we prove that for a uniformly chosen directed acyclic graph, the size of its Markov equivalence class has super-polynomial tails.
format Preprint
id arxiv_https___arxiv_org_abs_2209_04395
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On the number and size of Markov equivalence classes of random directed acyclic graphs
Schmid, Dominik
Sly, Allan
Probability
Combinatorics
Statistics Theory
62H22, 60K99, 60H05, 68R99
In causal inference on directed acyclic graphs, the orientation of edges is in general only recovered up to Markov equivalence classes. We study Markov equivalence classes of uniformly random directed acyclic graphs. Using a tower decomposition, we show that the ratio between the number of Markov equivalence classes and directed acyclic graphs approaches a positive constant when the number of sites goes to infinity. For a typical directed acyclic graph, the expected number of elements in its Markov equivalence class remains bounded. More precisely, we prove that for a uniformly chosen directed acyclic graph, the size of its Markov equivalence class has super-polynomial tails.
title On the number and size of Markov equivalence classes of random directed acyclic graphs
topic Probability
Combinatorics
Statistics Theory
62H22, 60K99, 60H05, 68R99
url https://arxiv.org/abs/2209.04395